Senior Platform Engineer

New

Skills

Apache Beam Apache Flink Apache Spark AWS Azure Distributed Systems GCP Kafka Kubernetes Python

We are seeking a Senior Platform Engineer specializing in Machine Learning to lead the architectural evolution of our core recommendations pipeline. In this role, you will be responsible for building and operating scalable, fault-tolerant backends for personalization at scale.

Key Responsibilities
  • Lead architectural evolution of core recommendations pipeline to a modern distributed architecture.
  • Build and operate scalable, fault-tolerant backends for personalization at scale.
  • Identify performance bottlenecks and reliability risks across the system.
  • Collaborate with ML engineers and product stakeholders to translate requirements into designs.
  • Own components end-to-end: architecture, deployment, monitoring, incident response.
  • Champion engineering best practices around design, testing, observability, and operational excellence.
Required Skills & Qualifications
  • 5+ years software engineering experience with distributed systems.
  • Deep experience building and operating large-scale distributed systems that are fault-tolerant and highly available.
  • Strong foundation in Python.
  • Experience with distributed data processing frameworks (e.g., Apache Spark, Apache Flink, Apache Beam).
  • Hands-on Spark experience is a plus.
  • Experience with cloud providers (AWS, Azure, GCP).
  • Experience with Kubernetes, Kafka, and gRPC.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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